UN Votes

Libraries

library(tidyverse)
library(lubridate)
library(scales)
library(DT)
library(unvotes)
library(tidytuesdayR)
library(ggplot2)

library(showtext)
font_add_google("Share Tech Mono", "techmono")
showtext_opts(dpi = 320)
showtext_auto(enable = FALSE)

Get data

unvotes <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-23/unvotes.csv')
roll_calls <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-23/roll_calls.csv')
issues <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2021/2021-03-23/issues.csv')

UNvotes_full and UNvotes_sub

unvotes_full <- unvotes %>%
  inner_join(un_roll_calls, by = "rcid") %>%
  inner_join(un_roll_call_issues, by = "rcid")

unvotes_sub <- unvotes_full%>%
  select(date,country,session,vote,issue)

UN Countries

german<-unvotes_full%>%filter(str_detect(country, "Germ"))
#table(german$country)
congo<-unvotes_full%>%filter(str_detect(country, "Congo"))
#table(congo$country)
yemen<-unvotes_full%>%filter(str_detect(country, "Yemen"))
#table(yemen$country)
guinea<-unvotes_full%>%filter(str_detect(country, "Guinea"))
#table(guinea$country)

unvotes_merged_country_names<-unvotes_sub%>%
  mutate(country=case_when(country=="Federal Republic of Germany"~"Germany",
                           country=="German Democratic Republic"~"Germany",
                           country=="Congo - Brazzaville"~"Congo",
                           country=="Congo - Kinshasa"~"Congo",
                           country=="Micronesia (Federated States of)"~"Micronesia",
                           country=="Myanmar (Burma)"~"Myanmar",
                           country=="Yemen Arab Republic"~"Yemen",
                           country=="Yemen People's Republic"~"Yemen",
                           country=="Guinea-Bissau"~"Giunea",
                           TRUE~country))%>%
  select(date,country,vote,issue) %>%
  arrange(date)

by_country_year

by_country_year <- unvotes_merged_country_names %>%
  group_by(year = year(date), country) %>%
  summarize(issue,votes = n(),
            percent_yes = round(mean(vote == "yes")*100,1),
            percent_no = round(mean(vote == "no")*100,1),
            percent_astain = round(mean(vote == "abstain")*100,1))

Visualization

library(graphics)
bck_color <- "#FEFCEF"
main_plot<-ggplot(data=by_country_year,
                  aes(x=year,y=votes,col=votes))+
  geom_line()+
  geom_point()+
  scale_x_continuous(breaks=seq(1946,2019,10))+
  
  theme_void()+
  theme(axis.text.x=element_text(color=bck_color))

UN background image

library(ggimage)


UN_img="https://camo.githubusercontent.com/654fb54c78403255bbe1457b6a75423f5e370ee075eab4db0a189b886b68b8d7/68747470733a2f2f75706c6f61642e77696b696d656469612e6f72672f77696b6970656469612f636f6d6d6f6e732f7468756d622f652f65652f554e5f656d626c656d5f626c75652e7376672f3132303570782d554e5f656d626c656d5f626c75652e706e67"

g<-ggbackground(main_plot, UN_img, alpha=.7,color="#94BCFF")

Final plot annotations

showtext_auto(enable = TRUE)
library(patchwork)
library(sf)
library(rnaturalearth)
library(magick)
library(grid)
library(png)

final <- g + plot_annotation(
    title = "UN Votes from 1946 to 2019",
    subtitle="on six issues: Colonialism,Arms control and disarmament,Economic development,Human rights,Palestinian conflict Nuclear weapons and nuclear material",
    caption = "Visualization: Federica Gazzelloni | Data: Harvards' UN votes",
    theme = theme(
      plot.margin = margin(10,10,10,10),
      plot.background = element_rect(fill = bck_color, color = NA),
      plot.caption = element_text(family = "techmono", size = 9, color = bck_color, margin = margin(15,0,0,0), hjust = 0.95)
    )
  )

ragg::agg_png(here::here("render", paste0("UN_votes_",
                                          format(Sys.time(),
                                                 "%Y%m%d_%H%M%S"),
                                          ".png")),
              res = 320, width = 14, height = 8, units = "in")
final

dev.off()

Read the image, attach the Tidytuesday logo and save it

tidy_logo<-image_read("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/static/plot_logo.png") %>%
  image_resize("300x300")


UN_votes_plot <- image_read("~/R/Projects/TidyTuesday/render/UN_votes_20210326_201814.png")

attached_logo <- image_composite(UN_votes_plot, tidy_logo,
                                 #offset = "0+0",
                                 operator="atop",
                                 gravity="northeast") # tell R where to put the logo

image_write(attached_logo, path = "~/R/Projects/TidyTuesday/render/UN_votes_W13.png", format = "png") # save final plot